Related Experiment Video
Updated: Aug 3, 2025

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
Published on: April 4, 2025
A data-driven analysis of the aviation recovery from the COVID-19 pandemic
Xiaoqian Sun1, Sebastian Wandelt1, Anming Zhang2
1Beihang University, National Key Laboratory of CNS/ATM, School of Electronic and Information Engineering, 100191 Beijing, China.
Abstract:
In Summer 2022, after a lean COVID-19 spell of almost three years, many airlines reported profits and some airlines even outperformed their pre-pandemic records. In context of the perceived recovery, it is interesting to understand how different markets have gone through the pandemic challenges. In this study, we perform a spatial and temporal dissection of the recovery process the global aviation system went through since May 2020. At the heart of this study, we investigate the patterns underlying market entry decisions during the recovery phase. We identify a rather heterogeneous type of recovery as well as its underlying drivers. We believe that our work is a timely contribution to the research on COVID-19 and aviation, complementary to the existing studies in the literature.
Related Concept Videos
Steps in Outbreak Investigation
Statistical Methods for Analyzing Epidemiological Data
Residuals and Least-Squares Property
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
Statistical Analysis: Overview
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
Causality in Epidemiology
Pareto Chart
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...

